Articles | Volume 12, issue 5
https://doi.org/10.5194/os-12-1137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/os-12-1137-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Oct 2016
Research article |
| 14 Oct 2016
A hybrid variational-ensemble data assimilation scheme with systematic error correction for limited-area ocean models
Paolo Oddo
CORRESPONDING AUTHOR
NATO Science and Technology Organization, Centre for Maritime Research and Experimentation,
Viale San Bartolomeo 400, 19126 La Spezia, Italy
Andrea Storto
Euro-Mediterranean Centre for Climate Change (CMCC), via Franceschini 31, 40128 Bologna, Italy
Srdjan Dobricic
European Commission, Joint Research Centre, Via Enrico Fermi 2749, 21027 Ispra (VA), Italy
Aniello Russo
NATO Science and Technology Organization, Centre for Maritime Research and Experimentation,
Viale San Bartolomeo 400, 19126 La Spezia, Italy
Craig Lewis
NATO Science and Technology Organization, Centre for Maritime Research and Experimentation,
Viale San Bartolomeo 400, 19126 La Spezia, Italy
Reiner Onken
NATO Science and Technology Organization, Centre for Maritime Research and Experimentation,
Viale San Bartolomeo 400, 19126 La Spezia, Italy
Emanuel Coelho
NATO Science and Technology Organization, Centre for Maritime Research and Experimentation,
Viale San Bartolomeo 400, 19126 La Spezia, Italy
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Cited
14 citations as recorded by crossref.
- Evaluation of different Maritime rapid environmental assessment procedures with a focus on acoustic performance P. Oddo et al. https://doi.org/10.1121/10.0014805
- Optimal Assimilation of Daytime SST Retrievals from SEVIRI in a Regional Ocean Prediction System A. Storto & P. Oddo https://doi.org/10.3390/rs11232776
- Implementation and evaluation of sea level operators in OceanVar2.0: an open-source oceanographic three-dimensional variational data assimilation system P. Oddo et al. https://doi.org/10.5194/gmd-19-423-2026
- Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions A. Storto et al. https://doi.org/10.1029/2019JC015636
- High-resolution observations in the western Mediterranean Sea: the REP14-MED experiment R. Onken et al. https://doi.org/10.5194/os-14-321-2018
- Using neural network to improve sea level prediction along the southeastern Brazilian coast B. Primo de Siqueira & A. Paiva https://doi.org/10.1016/j.ocemod.2021.101898
- Generating atmospheric forcing perturbations for an ocean data assimilation ensemble I. Mirouze & A. Storto https://doi.org/10.1080/16000870.2019.1624459
- Forecast skill score assessment of a relocatable ocean prediction system, using a simplified objective analysis method R. Onken https://doi.org/10.5194/os-13-925-2017
- The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product A. Storto et al. https://doi.org/10.1007/s00382-018-4585-5
- Extending an oceanographic variational scheme to allow for affordable hybrid and four-dimensional data assimilation A. Storto et al. https://doi.org/10.1016/j.ocemod.2018.06.005
- Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean A. Moore et al. https://doi.org/10.3389/fmars.2019.00090
- An Analytical Four‐Dimensional Ensemble‐Variational Data Assimilation Scheme K. Liang et al. https://doi.org/10.1029/2020MS002314
- An operational improvement of A-4DEnVar and its application to the estimation of the spatially varying bottom friction coefficients of the M2 constituent in the Bohai and Yellow seas K. Liang et al. https://doi.org/10.3389/fmars.2022.1084159
- Numerical Models, Observing Systems, and Data Assimilation for Prediction of Ocean Mesoscale Eddies Z. Li et al. https://doi.org/10.34133/olar.0059
14 citations as recorded by crossref.
- Evaluation of different Maritime rapid environmental assessment procedures with a focus on acoustic performance P. Oddo et al. https://doi.org/10.1121/10.0014805
- Optimal Assimilation of Daytime SST Retrievals from SEVIRI in a Regional Ocean Prediction System A. Storto & P. Oddo https://doi.org/10.3390/rs11232776
- Implementation and evaluation of sea level operators in OceanVar2.0: an open-source oceanographic three-dimensional variational data assimilation system P. Oddo et al. https://doi.org/10.5194/gmd-19-423-2026
- Assessing the Impact of Different Ocean Analysis Schemes on Oceanic and Underwater Acoustic Predictions A. Storto et al. https://doi.org/10.1029/2019JC015636
- High-resolution observations in the western Mediterranean Sea: the REP14-MED experiment R. Onken et al. https://doi.org/10.5194/os-14-321-2018
- Using neural network to improve sea level prediction along the southeastern Brazilian coast B. Primo de Siqueira & A. Paiva https://doi.org/10.1016/j.ocemod.2021.101898
- Generating atmospheric forcing perturbations for an ocean data assimilation ensemble I. Mirouze & A. Storto https://doi.org/10.1080/16000870.2019.1624459
- Forecast skill score assessment of a relocatable ocean prediction system, using a simplified objective analysis method R. Onken https://doi.org/10.5194/os-13-925-2017
- The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product A. Storto et al. https://doi.org/10.1007/s00382-018-4585-5
- Extending an oceanographic variational scheme to allow for affordable hybrid and four-dimensional data assimilation A. Storto et al. https://doi.org/10.1016/j.ocemod.2018.06.005
- Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean A. Moore et al. https://doi.org/10.3389/fmars.2019.00090
- An Analytical Four‐Dimensional Ensemble‐Variational Data Assimilation Scheme K. Liang et al. https://doi.org/10.1029/2020MS002314
- An operational improvement of A-4DEnVar and its application to the estimation of the spatially varying bottom friction coefficients of the M2 constituent in the Bohai and Yellow seas K. Liang et al. https://doi.org/10.3389/fmars.2022.1084159
- Numerical Models, Observing Systems, and Data Assimilation for Prediction of Ocean Mesoscale Eddies Z. Li et al. https://doi.org/10.34133/olar.0059
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